3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function
Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in r...
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Year of Publication: | 2019 |
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Physical Description: | 1 electronic resource (188 p.) |
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Latifi, Hooman auth 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function 3D Remote Sensing Applications in Forest Ecology MDPI - Multidisciplinary Digital Publishing Institute 2019 1 electronic resource (188 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecology. Due to the inherent 3D nature of forest ecosystems, the analysis of 3D sources of remote sensing data is considered to be most appropriate for recreating the forest’s compositional, structural and functional dynamics. In this Special Issue of Forests, we published a set of state-of-the-art scientific works including experimental studies, methodological developments and model validations, all dealing with the general topic of 3D remote sensing-assisted applications in forest ecology. We showed applications in forest ecology from a broad collection of method and sensor combinations, including fusion schemes. All in all, the studies and their focuses are as broad as a forest’s ecology or the field of remote sensing and, thus, reflect the very diverse usages and directions toward which future research and practice will be directed. English normalized difference vegetation index (NDVI) SRTMGL1 SPOT-6 urban ecology terrestrial laser scanner Lantana camara terrestrial laser scanning harvester product recovery imputation optimization multi-spectral function ZiYuan-3 stereo images spatial noise 3D remote sensing tree measurement diameter at breast height (DBH) DSM metabolic scale theory municipal forestry digital photogrammetry Norway spruce missing observations interrater agreement measurement error stump height Fractional cover analysis google earth engine high-voltage power transmission lines habitat fragmentation codispersion coefficient forest fire tree height nu SVR RapidEye uneven-aged mountainous random Hough transform kriging street trees ground validation Google Street View laser species identification composition maximum forest heights mountainous areas landscape fragmentation Landsat 8 forest canopy height allometric scaling and resource limitation model urban forestry point cloud GSV stump diameter structure 3D codispersion map forest ecology polarimetery crowdsourced data 3-03921-782-8 Valbuena, Ruben auth |
language |
English |
format |
eBook |
author |
Latifi, Hooman |
spellingShingle |
Latifi, Hooman 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
author_facet |
Latifi, Hooman Valbuena, Ruben |
author_variant |
h l hl |
author2 |
Valbuena, Ruben |
author2_variant |
r v rv |
author_sort |
Latifi, Hooman |
title |
3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
title_full |
3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
title_fullStr |
3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
title_full_unstemmed |
3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
title_auth |
3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
title_alt |
3D Remote Sensing Applications in Forest Ecology |
title_new |
3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
title_sort |
3d remote sensing applications in forest ecology: composition, structure and function |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
physical |
1 electronic resource (188 p.) |
isbn |
3-03921-783-6 3-03921-782-8 |
illustrated |
Not Illustrated |
work_keys_str_mv |
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status_str |
n |
ids_txt_mv |
(CKB)4100000010106277 (oapen)https://directory.doabooks.org/handle/20.500.12854/39900 (EXLCZ)994100000010106277 |
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3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
author2_original_writing_str_mv |
noLinkedField |
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